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Website admins using SEO tools to get their websites ranked in top search rankings in search engine. Website improvement concept to make search results higher.

<h3>TLDR: Part 1 explained how AI is changing search: answers now come from systems like Google’s AI Overviews, ChatGPT, and Copilot—not just from websites. If your content isn’t structured for those systems, it’s invisible. This post outlines exactly how to build a working AI SEO setup. It covers how to audit what you’ve got, fix what’s missing, and maintain visibility as AI tools become one of the new defaults for discovery.</h3><h2>Start here if you're building seriously</h2>If you missed <a data-mce-href="https://aistrategyconsulting.com.au/blog/ai-seo-mastery--part-1---how-search-has-changed" href="https://aistrategyconsulting.com.au/blog/ai-seo-mastery--part-1---how-search-has-changed">Part 1</a>, read it here. It explains how traditional SEO is losing ground to AI search, and why content must now be understandable by machines as well as humans.&nbsp;This post picks up where that left off. It focuses on how to structure your existing site and content so that AI tools can find, interpret, and reuse it.<h2>AI SEO is not a tool.</h2>Your content won’t show up in ChatGPT, Perplexity, or Copilot just because you publish regularly (if you want to that is = see the caveat ** below). These systems read differently. They don’t scan for keywords they index meaning. They need content that’s clear, connected, and machine-readable. That means you need to build structure into how your content is written, formatted, and linked.There are three key phases to getting this right. You can apply them whether you’re running a blog, a company site, or a full SEO function.Phase 1: Audit what exists and remove the guesswork Scan your content for structure: Make a list of your key topics. For each, check if you have one clear, structured page that explains the topic, or a scattered set of posts. AI systems favour clarity over volume. Test visibility in AI tools: Ask ChatGPT, Copilot, or Perplexity questions your content should answer. Does your site appear? If not, check whether your content is crawlable. Look at your robots.txt and confirm you’re not blocking bots like GPTBot or Google-Extended. Check technical readiness: Use tools like Screaming Frog or SE Ranking to scan for:<ul><li>Missing schema </li><li>Flat site architecture </li><li>Unlinked content </li><li>Slow-loading pages </li><li>Missing meta tags or duplicate titles </li><li>Triage your actions</li></ul>Prioritise fixes by impact and effort. Start with high-impact, low-effort updates like improving structure, fixing internal links, and applying schema. &nbsp; Phase 2: Organise content for AI understanding Build topic clusters: Pick a key subject you want to rank for. Create a single authoritative page for it, then link it to several smaller pages that go deeper into subtopics. This makes your expertise easy to map and reference. Write to answer real questions: Use clear headings that match natural queries. Open each section with the answer, not a lead-in. Keep formatting tight, short paragraphs, logical flow, no unnecessary intro copy. Add schema markup: Use schema to label your content for machines. Start with:<ul><li>Article schema for key pages </li><li>FAQ schema where relevant </li><li>Organisation schema for your site and authors </li><li>Use generators or plugins if you don’t write code. </li><li>Fix crawling and loading problems </li></ul>Optimise page speed, especially on mobile. Simplify code-heavy pages. Avoid anything that delays loading or hides content from crawlers. AI systems often stop loading after 3–5 seconds.Track AI visibility over time: Prompt Copilot or Perplexity every few weeks with target queries. Watch which of your pages begin to appear or get cited. If nothing changes, recheck your structure—not just your content. &nbsp; Phase 3: Build repeatability into your processStandardise how you publish and set a checklist for every new page:<ul><li>One clear topic focus </li><li>Structured H1, H2, and H3 headings </li><li>Internal links to related content </li><li>Schema applied </li><li>Metadata reviewed for clarity </li><li>Log every change and check impact </li><li>Track what was updated, when, and why</li><li>Monitor results monthly.&nbsp; </li><li>Assign clear ownership </li></ul>If it’s just you, block time for reviews and fixes. If it’s a team, assign roles, but make sure you run monthly reviews where you check:<ul><li>What changed </li><li>What showed up in AI search </li><li>What new questions or content gaps emerged </li><li>What you’re doing next </li></ul><h2>What this looks like in practice</h2>One site we supported had strong content but no AI visibility. Nothing was showing in ChatGPT or Copilot even though their content ranked fine on Google and they .We didn’t create anything new,but we did ensure:<ul><li>Organised five main topics into clusters </li><li>Removed hundreds of thin or duplicate pages </li><li>Applied schema to high-traffic content </li><li>Rewrote key H2s as questions and direct answers </li><li>Monitored citations monthly using prompt checks in Perplexity and Copilot </li></ul>Their pages began appearing in summaries within 90 days. No new content. Just better structure following the 3 Phase Gen AI SEO approach.**You can also choose to opt out.** If you don’t want AI platforms using your content, you can block AI crawlers like GPTBot or Google-Extended in your robots.txt file. Platforms like ChatGPT also allow you to turn off link and data sharing inside account settings.What’s next in this seriesThis is Part 2 of a six-part series on AI SEO.<ul><li>Part 3: What real results look like—traffic, rankings, visibility </li><li>Part 4: Where search is headed—LLMs, AEO, and AI visibility metrics </li><li>Part 5: The no-code tools and platforms to make this easier </li><li>Part 6: How to report results monthly and retain clients long-term </li></ul>If you’re building seriously, these next parts will show you how to measure impact, automate where it matters, and keep visibility growing.<h2>FAQ</h2>Q: Is this only for people doing client SEO? A: No. This structure works whether you’re building SEO for your own site, an internal function, or as part of a consulting team.Q: What’s the fastest fix I can make? A: Choose one topic. Create a clean pillar page. Link to four support pages. Add schema. Track what happens in Perplexity and Copilot over the next 30 days.Q: What tools do I need to do this? A: You can start with Screaming Frog, Google Search Console, and manual prompts. Add tools like SE Ranking or Semrush later. Schema plugins and AI visibility trackers are helpful but not required to begin.Q: How do I know if AI tools are using my site? A: Prompt tools like ChatGPT, Copilot, or Perplexity with questions your content answers. Look for citations, paraphrased content, or brand references.<h2>Want help setting this up properly?</h2>The <a data-mce-href="https://aistrategyconsulting.com.au/ai-business-case-workshop" href="https://aistrategyconsulting.com.au/ai-business-case-workshop">AI Business Workshop</a> gives you a complete AI SEO delivery system: what to audit, what to prioritise, and how to structure for generative search. It’s designed for teams building visibility in the AI era.Next up: <a data-mce-href="https://aistrategyconsulting.com.au/blog/ai-seo-mastery--part-3---what-real-results-look-like" href="https://aistrategyconsulting.com.au/blog/ai-seo-mastery--part-3---what-real-results-look-like">Part 3 – AI SEO Results: What Success Actually Looks Like.</a>

AI SEO Mastery: Part 2 – How to Build a Working AI SEO System

Internet search bar in browser with magnifier on computer monitor screen.

<h3>TLDR: Search engines don’t just show links anymore. AI-powered tools like ChatGPT, Copilot, and Google AI Overviews now give people full answers written by machines. If your content isn’t showing up in those answers, it’s being ignored. This post explains what AI SEO is, how it's different from old SEO, and what your team needs to start doing now to stay visible.</h3><h2>Why this matters</h2>Until recently, SEO was about making your website rank on Google. You’d choose keywords, tweak pages, get backlinks, and track your position on the results page.That system still exists. But it’s no longer the whole story.Now, when people ask questions online, AI tools answer them directly. These answers are stitched together from many sources. The AI might pull a sentence from your site, mix it with someone else’s data, and show it without linking back to you. Or worse, it won’t include you at all because your content isn’t structured for AI to find or relevance, or trust.Google calls this new system AI Overviews. Microsoft calls it Copilot. ChatGPT and Perplexity do it too.So your content strategy now needs to work for two readers:<ol><li>Humans, who skim, scroll, and search </li><li>AI systems, who extract, embed, and rewrite </li></ol>Here’s the shift from old SEO to AI SEO:<ul><li>Old SEO: Choose a keyword </li><li>AI SEO: Understand search intent </li><li>Old SEO: Optimise a single page </li><li>AI SEO: Optimise a whole topic cluster </li><li>Old SEO: Wait for rankings to change </li><li>AI SEO: Aim to be included in AI-generated answers </li><li>Old SEO: Focus on click-through rates </li><li>AI SEO: Focus on citations, mentions, and presence in AI tools </li><li>Old SEO: Publish static content</li><li>AI SEO: Maintain content that is updatable, structured, and explainable</li></ul>If your content isn’t visible to AI tools, you’re invisible to the next wave of search.<h2>How AI search actually works</h2>AI search systems don’t crawl and rank in the same way old search engines did. Here's what happens instead, in plain terms:<ol><li>They find your content AI crawlers (like GPTBot or Google-Extended) scan your site. If your robots.txt blocks them, or your content is hard to read, they skip you. </li><li>They turn it into math Your words are converted into embeddings—a type of structured data that represents meaning. The AI uses these embeddings to “remember” your ideas. </li><li>They store it in vectors This is like saving your content in a searchable map. When someone asks a question, the AI doesn’t search by keywords. It searches by meaning. </li><li>They generate answers Using Retrieval-Augmented Generation (RAG), the AI pulls the most relevant content from its vector map and writes a response—sometimes quoting you, sometimes not. </li></ol>If your content isn’t well-structured, the system won’t include you. If you don’t use schema, the system may mislabel your content. If you don’t update regularly, the system may assume you’re outdated.This is why traditional SEO tactics alone aren’t enough anymore.<h2>What should I do differently now?</h2>To get found in AI-powered search, your team needs to shift from page-level optimisation to AI-readable strategy.Here’s where to begin:1. Reorganise your content by topic, not keywords Create “pillar” pages for your key topics. Link them to supporting pages that go deeper. AI systems favour well-structured topic clusters over scattered blog posts.2. Use plain language and structured formatting AI prefers clear writing, short sentences, and obvious headings. Use H1, H2, H3. Break things into bullet points when it helps. Avoid jargon.3. Add schema markup This is behind-the-scenes code that helps AI understand what each part of your page means. Use FAQ schema, article schema, and organisation schema as a start.4. Answer real questions directly Think like your customer. Write sections that clearly answer common questions. Use question-and-answer formats. These are more likely to be pulled into AI-generated results.5. Get included in AI crawlers Check your site’s robots.txt file. Don’t block bots like GPTBot, ClaudeBot, or Google-Extended unless you have a good reason. If you want to opt out, do it deliberately.<h2>Here's Real example: Why a services firm saw traffic disappear</h2>One professional services firm published regular updates on legal policy. Their content ranked well in Google… until 2025.Their traffic fell off a cliff.Why? Their content wasn’t appearing in AI Overviews or Copilot answers. It wasn’t linked. It wasn’t cited. It was completely skipped.We helped them:<ul><li>Add entity tags to their author pages </li><li>Organise their posts into structured guides </li><li>Update technical settings for AI accessibility </li><li>Rewrite their top 10 pages with better structure, schema, and context </li><li>Result? Within 90 days, they were being cited by AI tools again</li><li>Saw a 3x increase in inbound traffic. </li><li>No new content.&nbsp;</li></ul><h2>What’s next in this series?</h2>This is Part 1 of a six-part series on AI SEO.Part 2: How to Build a Working AI SEO System Part 3: What real results look like—traffic, rankings, visibility Part 4: Where search is headed—LLMs, AEO, and AI visibility metrics Part 5: The no-code tools and platforms to make this easier Part 6: How to report results monthly and retain clients long-term You can bookmark this series or follow along each day as we build your full AI SEO stack step by step.<h2>FAQ</h2>Q: Is AI SEO only for big businesses? A: No. SMEs, public sector teams, and solo operators all need to be visible in AI-powered search. Many tools are no-code and low-cost.Q: Can’t I just keep doing normal SEO? A: You can—but you’ll miss traffic from AI tools like Copilot, Perplexity, and ChatGPT. These platforms bypass traditional search rankings.Q: How do I know if I’m being cited by AI? A: Tools now exist to track AI visibility. You can also test your content manually by prompting tools like ChatGPT or Perplexity and seeing if you appear.Q: Is this just another SEO fad? A: No. Google’s leaked roadmap, Microsoft’s Copilot push, and declining click-through rates confirm the shift is permanent. Generative search is here.<h2>Want a full strategy built for AI search?</h2>Start with our <a data-mce-href="https://aistrategyconsulting.com.au/ai-enterprise-strategy-roadmap" href="https://aistrategyconsulting.com.au/ai-enterprise-strategy-roadmap">Enterprise AI Strategy Roadmap</a>. We’ll map the technical, content, and performance foundations your site needs to compete in an AI-first world.Next up: <a data-mce-href="https://aistrategyconsulting.com.au/blog/ai-seo-mastery--part-2---how-to-build-a-working-ai-seo-system" href="https://aistrategyconsulting.com.au/blog/ai-seo-mastery--part-2---how-to-build-a-working-ai-seo-system">Part 2 – AI SEO Mastery : How to Build a Working AI SEO System.</a>

AI SEO Mastery: Part 1 – How Search Has Changed

<h3>TLDR: Most AI predictions miss the point. The real transformation in 2025 won’t be flashy new models. It’ll be quiet shifts in how real businesses embed AI into existing processes, decisions, and systems. This post breaks down what matters, what doesn’t, and what to prepare for.</h3><h2>The Buzzword’s Expiry Date</h2><a data-mce-href="https://aistrategyconsulting.com.au/ai-enterprise-strategy-roadmap" href="https://aistrategyconsulting.com.au/ai-enterprise-strategy-roadmap">“AI transformation”</a> gets thrown around by vendors trying to sell magic. But in practice, it’s not one event. It’s a slow realignment: of workflows, incentives, and decisions. Forget visions of AI agents. In 2025, here’s what will actually change:<ul><li>Teams will start to trust AI with low-risk internal work. </li><li>AI will be built into existing tools, not bolted on. </li><li>Success will hinge on process redesign, not model accuracy. </li><li>You Don’t Need a Model. You Need an Upgrade Path. </li></ul>Your team doesn’t need to train its own model. It needs to know:<ol><li>When to use AI. </li><li>What kind of task suits automation. </li><li>How to manage risks, outputs, and compliance. </li></ol>That’s why we don’t teach theory. We teach redesign. In our <a href="https://aistrategyconsulting.com.au/ai-fundamentals-masterclass" data-mce-href="https://aistrategyconsulting.com.au/ai-fundamentals-masterclass">AI Fundamentals Masterclass</a>, we show non-technical teams how to start simple:<ul><li>Automate a client intake form using no-code AI tools. </li><li>Add summary prompts to internal documents. </li><li>Use AI to test risk assumptions in grant assessments. </li><li>No new software. No dev team needed.</li></ul><h2>What ‘AI Transformation’ Looks Like Inside a Real Organisation</h2>We’re working with councils, educators, and small firms where transformation looks like:<blockquote>An AI form that classifies customer queries before human review. A procurement lead who asks GPT to pre-fill a compliance checklist. A policy officer who now drafts in ChatGPT with live reference material. </blockquote>These changes don’t make headlines. But they reduce admin time, surface better decisions, and free up skilled staff to focus where they’re needed most.<h2>You’ll Need More Than Enthusiasm</h2>Plenty of leaders are excited. Fewer are prepared. Transformation isn’t about tools. It’s about readiness.We assess this in seven areas:<ol><li>Strategy &amp; Vision – Does leadership know what AI is for? </li><li>Data Readiness – Are your inputs usable, safe, and relevant? </li><li>Tech Infrastructure – Can your systems integrate AI tools? </li><li>People &amp; Culture – Do staff understand what’s changing? </li><li>Governance &amp; Ethics – Are there policies for safe use? </li><li>Risk &amp; Compliance – Can outputs be audited, corrected, tracked? </li><li>Efficiency Potential – Is there a use case worth the effort? </li></ol>We’ve seen teams fail because they skipped this step. We’ve also seen underdog departments implement AI in three weeks because they took it seriously.<h2>What To Expect in 2025 </h2>If your team’s just starting:<ul><li>Expect more integrations inside tools you already use. </li><li>Expect pressure to show results, not just experiments. </li><li>Expect AI use to shift from novelty to default. </li></ul>And if you’re not planning for that now? You’ll be catching up next year while others cut costs or deliver faster.<h2>FAQ</h2>Q: Do I need to hire data scientists to adopt AI? No. Most early use cases work with no-code tools or external models. The key is knowing where to start.Q: What’s the biggest risk in ‘AI transformation’? Doing it without governance. Bad outputs, bias, or privacy issues come from poor oversight, not the tech itself.Q: How do I know if we’re ready? Take our AI Readiness Assessment. It scores your organisation across seven areas and shows what needs fixing before rollout.Q: What’s a simple first step? Try a no-code AI form to triage incoming queries, or use AI to draft a basic internal document. We build these in the <a data-mce-href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp" href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp">AI Bootcamp</a>.Q: What’s the difference between transformation and adoption? Adoption is using AI tools. Transformation is redesigning processes so AI is part of the system, not an add-on.<h2>Where to Start</h2><ul><li><a data-mce-href="https://aistrategyconsulting.com.au/ai-readiness-assessment" href="https://aistrategyconsulting.com.au/ai-readiness-assessment">AI Readiness Assessment:</a> Get a full picture of where you stand. </li><li><a data-mce-href="https://aistrategyconsulting.com.au/ai-fundamentals-masterclass" href="https://aistrategyconsulting.com.au/ai-fundamentals-masterclass">AI Fundamentals Masterclass:</a> Learn how to apply AI without hiring a tech team. </li><li><a data-mce-href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp" href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp">AI Bootcamp:</a> Build practical, real-world tools using your own documents. </li><li><a data-mce-href="https://aistrategyconsulting.com.au/ai-enterprise-strategy-roadmap" href="https://aistrategyconsulting.com.au/ai-enterprise-strategy-roadmap">AI Strategy Roadmap:</a> Plan for scale and compliance.</li></ul>2025 won’t reward the loudest. It’ll reward the most prepared.&nbsp;

Why 2025 Won’t Be the Year AI “Transforms Everything” (Yet)

<h3>TLDR: The O1 model from OpenAI gives GenAI tools better memory, more reliable answers, and improved task follow-through. If your team is already testing AI for writing, briefs, or internal queries, O1 matters. It reduces hallucinations, handles multi-step instructions better, and offers more stable behaviour for daily business tasks.</h3><h2>Most people won’t notice when the underlying AI model changes.</h2>But your team will feel it when ChatGPT starts remembering what they said five minutes ago. Or when it finally stops making up half the references in a client brief. That’s what the O1 upgrade is for.I’ve been testing this with clients across councils, agencies, and service teams. The difference isn’t just technical - it’s practical.&nbsp;It means fewer rewrites. Less checking for fake numbers. And answers that stay consistent across a full task, not just one prompt at a time.<h2>What is O1 and why does it matter?</h2>O1 is the latest model option in ChatGPT (and some custom GPTs). Compared to GPT-4-turbo, it behaves more like a person who remembers the whole conversation, your goal, your format, and your specific instruction.Here’s what that means for your team:<ul><li>Better memory mid-task: Write a draft, then ask it to rewrite with different tone. It won’t forget what you asked for in the first place. </li><li>Fewer hallucinations: It’s less likely to fabricate content or misinterpret structured info. </li><li>Smoother multi-step outputs: If you’re generating a draft, headline, and CTA all in one go, it handles the flow without dropping parts. </li></ul>You don’t need to know the architecture behind O1. You just need to know that it works more reliably for real work.<h2>Where we’re seeing the benefit</h2>Here’s how clients are already using O1-powered builds in live environments:<ul><li>Policy &amp; brief drafting: More consistent formatting, less content drift, easier to refine. </li><li>CX intake &amp; triage: It can hold more context from a form or message, making handovers cleaner. </li><li>Procurement &amp; RFP responses: O1 can manage longer prompt chains without forgetting details. </li><li>Training material updates: It tracks instructions across modules and sections without breaking style. </li></ul>These aren’t test cases. These are public sector and business teams replacing 3-hour tasks with 30-minute ones, using safer GenAI.<h2>How to know if you’re ready for O1</h2>You don’t need to be a developer. But you do need some structure.If your team is doing any of the following, it’s time to switch to O1:<ul><li>Writing prompts with more than one step </li><li>Rewriting AI-generated content for tone or structure </li><li>Feeding documents into GPTs and getting inconsistent results </li><li>Checking outputs for hallucination before they’re safe to use </li></ul>If that’s familiar, O1 will save you time, reduce cleanup, and help outputs survive internal review.<h2>What to do next</h2>You don’t need to build from scratch. But you do need to set it up right.<ol><li>Use O1-powered GPTs in your team workspace or create a dedicated assistant with memory turned on. </li><li>Test live use cases, not benchmarks—e.g. rewrite a ministerial response or triage a client email. </li><li>Track prompt quality, output stability, and review time before/after. </li><li>Document how your team uses AI—not just the tool, but the why and when. </li></ol>We teach this in our <a data-mce-href="https://aistrategyconsulting.com.au/ai-fundamentals-masterclass" href="https://aistrategyconsulting.com.au/ai-fundamentals-masterclass">AI Fundamentals Masterclass</a>. And we test it using your actual tasks in the <a data-mce-href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp" href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp">AI Bootcamp</a>.<h2>FAQs</h2>Q: Do I need a paid OpenAI plan to access O1? Yes, O1 is currently available through ChatGPT Plus or via API tools like Copilot Studio or custom GPTs.Q: How do I know if I’m using O1 in ChatGPT? Click the GPT version in the top bar. If “GPT-4-o” or “O1” is shown, you're using the new model. Memory and better context retention are key indicators.Q: What makes O1 better for business use? It remembers more during a session, reduces hallucinations, and performs better across multi-step prompts.Q: Do I need to change all my workflows? No. You just need to test your most-used tasks and compare performance. The upgrade is noticeable in real output quality.Q: Can I train my team on this? Yes. Start with use cases they already own—policy writing, client replies, project drafts—and use tools like our AI Fundamentals Masterclass or Readiness Assessment to get them fluent.&nbsp; Want your team to stop rewriting AI drafts every time?<ul><li>Start with the <a data-mce-href="https://aistrategyconsulting.com.au/ai-fundamentals-masterclass" href="https://aistrategyconsulting.com.au/ai-fundamentals-masterclass">AI Fundamentals Masterclass</a> </li><li>Test your GenAI performance in the<a data-mce-href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp" href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp"> AI Bootcamp</a> </li><li>Build smart, stable use with our <a data-mce-href="https://aistrategyconsulting.com.au/ai-enterprise-strategy-roadmap" href="https://aistrategyconsulting.com.au/ai-enterprise-strategy-roadmap">AI Strategy Roadmap</a> </li><li>Or find out where your current tools fall short with our <a data-mce-href="https://aistrategyconsulting.com.au/ai-readiness-assessment" href="https://aistrategyconsulting.com.au/ai-readiness-assessment">Readiness Assessment</a></li></ul>GenAI should save your team time, not double their review burden. O1 brings us one step closer to that reality.

What Is O1 and Why Does It Matter?

AI Agents Concept, Woman Hand Holding a Note Paper with the Word AI Agents

<h3>TLDR: Agent Mode turns ChatGPT into a digital worker and not just a chatbot. It can research a topic, write a report, and build a slide deck without constant prompting. You write one clear instruction, and it completes the task start to finish. If your team is still copy-pasting between tabs, you’re missing the point. This post breaks down what Agent Mode is, how to use it properly, and what to watch out for when you try it the first time.</h3><h2>What is Agent Mode—and why should I care?</h2>Agent Mode is a feature inside ChatGPT that lets the tool run autonomous workflows. That means you don’t need to prompt it line-by-line. You give it a detailed task, and it goes off to complete it like a digital assistant.It can:<ul><li>Browse websites </li><li>Read documents </li><li>Extract information </li><li>Write structured reports </li><li>Create PowerPoint-style presentations </li><li>Even fill out forms or summarise emails (if you connect the right tools) </li></ul>It works right now. But only if you set it up the right way.<h2>How to activate Agent Mode (if it’s available to you)</h2>You’ll need a paid plan—Pro, Plus, or Team. It won’t show up if you’re using the free version.To activate:<ul><li>Log into ChatGPT </li><li>Open the “Tools” menu </li><li>Select “Agent Mode,” or type /agent into the chat </li></ul>If you don’t see it:<ul><li>Update your app </li><li>Check your account tier </li><li>Wait—some features roll out gradually </li></ul>Once activated, Agent Mode will prompt you to describe what you want done. This is where most people get it wrong.<h2>How to write the prompt that makes Agent Mode useful </h2>You need to be specific. Not technical, just detailed.Good prompt:<blockquote>“Research the impact of green hydrogen on national energy grids. Create a 2-page report with at least five academic sources, and a 5-slide presentation that summarises key points with charts.” </blockquote>Bad prompt:<blockquote>“Tell me about green hydrogen.” </blockquote>Your prompt should include:<ul><li>The topic </li><li>The type of output you want (report, slides, table, etc.) </li><li>Any requirements (citations, number of pages, slide count, etc.) </li><li>You don’t need to know how it works under the hood. You just need to explain the end result you want.</li></ul><h2>What happens once the agent starts working? </h2>After you submit your prompt, Agent Mode will start:<ul><li>Searching for reliable sources </li><li>Skimming documents </li><li>Extracting relevant information </li><li>Writing and formatting your report </li><li>Building your slide deck </li></ul>This usually takes between 15 and 25 minutes. You’ll see its progress live: researching, writing, compiling. You can jump in with feedback as it goes.It’s not a magic trick. It’s a process—with visible steps and editable outputs.<h2>What you can (and should) do while it’s running</h2>You don’t have to wait silently. You can clarify mid-task:<ul><li>“Please include more recent data—post-2022 if possible.” </li><li>“Make slide 3 a timeline instead of a chart.” </li><li>“Add references in APA style.” </li></ul>You can also extend the task:<ul><li>“Also add a list of 5 key journals in this field.” </li><li>“Find 3 experts cited in the paper and pull contact info.”</li></ul>Where most people go wrong: They treat Agent Mode like regular ChatGPT, just asking casual questions. That’s not what it’s for. They skip over what the output should look like, so the results come back vague or messy. Or they expect it to know their context without explaining it. They don’t check the source of the data, which means they copy content without verifying where it came from.Agent Mode gives you structure, formatting, and raw content but you still need to review what it outputs. It’s fast, not final.<h2>Common use cases (that actually save time)</h2><ul><li>Drafting client reports using live market data </li><li>Writing board updates from multiple source docs </li><li>Creating summary decks from PDFs or academic papers </li><li>Organising inbox action items into a Notion task list </li><li>Building competitor comparisons in a spreadsheet </li></ul>You can even connect apps like Gmail, Google Drive, or Notion. The agent will ask for permission first, and you stay in control at all times.<h2>&nbsp;FAQs</h2>Q: Do I need to know code to use Agent Mode? No. You just write instructions in plain language. The tool handles the structure.Q: Can I change the report or deck after it’s done? Yes. You can ask the agent to revise or add more. Or you can edit it manually like any doc or slide deck.Q: Does it really cite real sources? Yes, if you ask for citations in your prompt. Otherwise it may summarise content without attribution.Q: Can it book appointments or send emails? Only if you’ve connected the right services and approve the action. You’ll always get a prompt before anything high-impact happens.<h2>What to do next</h2>If your team is still bouncing between Google, Word, PowerPoint, and trying to piece everything together manually: Agent Mode is worth testing.We teach this in our<a data-mce-href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp" href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp"> 5 Day AI Bootcamp:</a><ul><li>How to design structured prompts </li><li>How to review and refine outputs </li><li>How to build reports and decks faster than your old workflow allows </li></ul>You don’t need technical staff. You need someone who knows what a finished product should look like and how to brief the tool to get close.&nbsp;Want to stop typing the same research brief four times into four tools? Join the<a data-mce-href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp" href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp"> AI Bootcamp </a>and learn how to use Agent Mode to get real outputs that are fast, reviewable, and ready to share.

How to Use ChatGPT Agent Mode to Get Real Work Done

<h3>TLDR: Meta now embeds invisible watermarks into videos generated with its Emu Video model. It doesn’t apply to all AI video tools, only Emu for now but it signals a shift. If your team publishes any AI-generated video content, you need to know what model produced it, whether it’s traceable, and what happens if someone questions its origin. This blog explains the watermarking tech, where exposure exists, and how to build safeguards into your workflow.</h3><h2>What is Meta’s watermarking tool and how does it work?</h2>Meta released an invisible watermark called Stable Signature. It’s automatically applied to video content created using Emu Video, Meta’s internal text-to-video generation model.This watermark is:<ul><li>Embedded directly into the pixels of the video </li><li>Not visible to viewers or editors </li><li>Detectable using Meta’s open-source verification tool </li><li>Designed to persist even after cropping, compression, or reposting </li></ul>If your team uses Emu Video—directly or through Meta features (like Instagram or internal tools), any AI-generated video is already watermarked. If you’re using other models, it’s unlikely your videos carry any traceable signal.<h2>Why watermarking matters in your organisation</h2>You don’t need to be using Emu to care about this.The issue isn’t Meta’s tool. It’s whether your team:<ul><li>Knows what tools are generating video </li><li>Can confirm what’s AI-made and what isn’t </li><li>Can respond if a published asset is challenged, misquoted, or misused </li></ul>This applies if you’re using AI to:<ul><li>Generate public video explainers or promos </li><li>Create internal comms assets that get repurposed externally </li><li>Produce draft visuals that become final content through light editing </li><li>Work with agencies that use generative video under the hood </li></ul>We’ve seen this show up in real settings:<ol><li>A comms team published a video with no record of which model generated it </li><li>A third-party supplier delivered a synthetic asset without disclosure or watermark </li><li>A social media manager repurposed a team draft without knowing it contained generated visuals </li></ol>Once it’s live, no one can answer how it was made.<h2>How watermarking works—and doesn’t</h2>The watermark is not metadata. It’s not a visual overlay or tag. It’s a hidden pattern embedded in the visual structure of the video file.That means:<ul><li>It stays intact after basic edits </li><li>It doesn’t rely on file names or export history </li><li>It can be checked using Meta’s detection tool </li></ul>But:<ul><li>It only works if the video was made using Emu Video </li><li>It doesn’t help with content made using tools like Runway, Pika, Synthesia, D-ID, or anything else</li><li>Most generative video tools currently don’t add any watermark or traceability </li></ul>This is what your team needs to know, not just whether watermarking exists, but whether it applies to the tools they’re actually using.<h2>What to watch for in your content workflows</h2>These are the gaps that lead to exposure:<ul><li>No inventory of what AI tools are being used for video </li><li>No process to track which content is synthetic vs. human-made </li><li>No knowledge of whether a watermark exists or can be verified </li><li>Over-reliance on third-party suppliers without documented production steps </li></ul>Watch for signals like:<ul><li>"We used a bit of AI but cleaned it up after" (no record of the original model) </li><li>"It’s mostly human-made" (but no clarity on which sections aren’t) </li><li>"The tool doesn’t show where the footage came from" (no watermark, no source file)</li></ul>This shows up downstream when teams are asked to prove originality, defend attribution, or correct public claims.<h2>What to do now</h2><ul><li>Audit where AI-generated video is being used </li><li>Ask your team and suppliers: which tools are involved? Which assets are affected? </li><li>Check which models apply watermarks </li><li>Emu Video does. Most others don’t. Add this to your tool evaluation list. </li><li>Build traceability into your publishing workflow </li></ul>Add checks like:<ul><li>What model was used? </li><li>Was a watermark applied? </li><li>Who reviewed the final file before publishing? </li><li>Brief internal teams and content vendors</li></ul>Clarify that final assets containing synthetic media must be flagged and, where possible, watermarked or documented. &nbsp;<h2>FAQ</h2>Q: Is Emu Video publicly available? No. It’s used internally at Meta and in some consumer features (e.g. Instagram). You can’t generate video directly with Emu unless it’s built into a tool you use.Q: Does this affect AI-generated images? No. This watermark only applies to video generated by Emu Video. Other watermarking research for images exists but isn’t included here.Q: Can the watermark be removed? Not easily. It’s designed to persist through editing, compression, and reposting. Attempting to remove it would require significant degradation or technical effort.Q: Should we tell the public we use watermarked AI content? Not necessarily. This watermark is invisible and intended for verification, not public disclosure. But you should be able to answer if asked.<h2>Where to start</h2><ul><li><a data-mce-href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp" href="https://aistrategyconsulting.com.au/introduction-to-ai-5-day-bootcamp" data-mce-selected="inline-boundary">AI Bootcamp: </a>Work with your own content to build publishing workflows that track tools, outputs, and synthetic content risk </li><li><a data-mce-href="https://aistrategyconsulting.com.au/ai-fundamentals-masterclass" href="https://aistrategyconsulting.com.au/ai-fundamentals-masterclass">AI Fundamentals Masterclass</a>: Teach your team how watermarking, traceability, and detection tools actually work </li><li><a data-mce-href="https://aistrategyconsulting.com.au/ai-readiness-assessment" href="https://aistrategyconsulting.com.au/ai-readiness-assessment">Readiness Assessment:</a> Identify blind spots where your AI content practices don’t meet future standards</li></ul>AI-generated video isn’t the problem. Publishing it without traceability is.

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